Data Science Manager: Lead AI & Analytics Teams

Gilbane Building Company; Tampa (FL); Vor Ort; USD 180.000 - 210.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k) plan

Profit sharing

Zusammenfassung

Gilbane Building Company seeks a Data Science Manager to lead a team applying analytics, statistics, ML, and AI to solve complex business problems. You will translate business needs into analytical plans, drive production-ready solutions, and collaborate with stakeholders to implement insights.

The role emphasizes technical leadership, people management, and governance to ensure impactful, responsible AI adoption across projects.

Qualifikationen

• Bachelor's degree required; master's degree or PhD in statistics, data science, economics, psychology (industrial/organizational, research, or experimental focus), biometrics, or other quantitative field preferred
• PhD preferred
• 5 years of experience as a Data Scientist
• 2+ years of people management experience leading data scientists, analysts, applied scientists, or quantitative researchers

Aufgaben

• Lead data scientists through technical direction and career growth support
• Set standards for analytical quality, experimentation, causal inference, ML, AI solution design, and model governance
• Guide the team in applying statistical analysis, predictive modeling, feature engineering, data mining, and research methods
• Translate ambiguous business questions into clearly scoped analytical problems and executable plans
• Communicate insights and recommendations to executives and non-technical audiences

Kenntnisse

Statistical analysis

Predictive modeling

Machine learning

Causal inference

Data mining

Communication skills

Stakeholder collaboration

Model governance

Ausbildung

Bachelor's degree

Master's degree

PhD

Tools

Python

R

SQL

TensorFlow/PyTorch

Jobbeschreibung

Gilbane Building Company seeks a Data Science Manager to lead a team applying analytics, statistics, ML, and AI to solve complex business problems. You will translate business needs into analytical plans, drive production-ready solutions, and collaborate with stakeholders to implement insights.

The role emphasizes technical leadership, people management, and governance to ensure impactful, responsible AI adoption across projects.